Affective Student Modeling Based on Microphone and Keyboard User Actions

This paper presents an affective educational application that bases its inferences about students´ emotions on user evidence provided by the keyboard and the microphone. The actual combination of evidence from these two modes of interaction has been performed based on our innovative inference mechanism for emotions that uses stereotypes of users´ affective reactions and a multi-criteria decision making theory. The user stereotypes have been resulted from an empirical study that resulted in recording common user reactions of the target group of users of the educational application